Ppg Industries (PPG) Return on Sales [ROS] (2009 - 2026)
Ppg Industries' Return on Sales [ROS] came in at 14.73% for Q2 2026, down 1.55 percentage points from 16.28% a year earlier but up 0.68 percentage points from the prior quarter.
Ppg Industries (PPG) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ppg Industries reported Return on Sales [ROS] of 13.94%, down 0.57 percentage points year-over-year; for FY2025, it came in at 14.27%, up 0.62 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +1.82 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 13.64% in FY2024 (-0.88 pp), 14.52% in FY2023 (+3.28 pp), 11.24% in FY2022 (+0.21 pp) and 11.03% in FY2021 (-1.42 pp).
- The five-year range for quarterly Return on Sales [ROS] is 5.23% (Q4 2021) to 17.24% (Q2 2024).
- Year-over-year, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -0.93 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2022 (a gain of 9.68 percentage points), and the weakest in Q4 2021 (a drop of 8.61 percentage points).
- Business Quant data shows PPG's Return on Sales [ROS] at 14.05% (Q1 2026), 11.62% (Q4 2025) and 15.19% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 216.41 Bn | 199.52 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 138.24 Bn | 131.38 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 77.94 Bn | 76.98 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 60.86 Bn | 58.76 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 37.33 Bn | 26.95 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.61 Bn | 30.48 Bn | 3.25 Bn | 28.51% |
| 7 | Qnity Electronics | 26.88 Bn | 24.31 Bn | 666.00 Mn | 25.75% |
| 8 | Ati | 26.00 Bn | 24.15 Bn | 309.80 Mn | 17.45% |
| 9 | Ppg Industries | 23.27 Bn | 16.07 Bn | 1.81 Bn | 14.73% |
| 10 | International Flavors & Fragrances | 21.22 Bn | 18.91 Bn | 853.00 Mn | 8.09% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.73% |
| Mar 31, 2026 | 14.05% |
| Dec 31, 2025 | 11.62% |
| Sep 30, 2025 | 15.19% |
| Jun 30, 2025 | 16.28% |
| Mar 31, 2025 | 13.93% |
| Dec 31, 2024 | 12.36% |
| Sep 30, 2024 | 15.18% |
| Jun 30, 2024 | 17.24% |
| Mar 31, 2024 | 15.38% |
| Dec 31, 2023 | 16.71% |
| Sep 30, 2023 | 13.67% |
| Jun 30, 2023 | 15.07% |
| Mar 31, 2023 | 13.61% |
| Dec 31, 2022 | 14.90% |
| Sep 30, 2022 | 10.63% |
| Jun 30, 2022 | 11.53% |
| Mar 31, 2022 | 9.73% |
| Dec 31, 2021 | 5.23% |
| Sep 30, 2021 | 10.86% |
Ppg Industries Return on Sales [ROS] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=PPG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PPG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=PPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();